Stochastic Computational Electrostatics and Applications: Computing Capacitance

Published: | 12:20 pm | Posted in: Events

Speaker: Michael Mascagni Date: Oct 27, 2023, 2:15 – 3:10 PM Abstract: We are interested in using stochastic (Monte Carlo) methods to solve problems that are relevant to electrostatics and specifically to semiconductor design. Thus, we begin by introducing what Monte Carlo are and show how they can be used to compute several numerical quantities. […]

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Real Time Signal Processing Circuits Directly in Electromagnetic Waveform Domain

Published: | 2:42 pm | Posted in: Colloquium

Speaker: Bayaner Arigong Date: Oct 20, 2023 Abstract: Inspired by the visionary landscapes of science fiction, ubiquitous computing has emerged as a futuristic yet transformative paradigm that aims to seamlessly integrate computing technology into the fabric of our everyday lives. However, despite the promise of this vision, it remains uncertain how we can bring the […]

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Kai Zhao Awarded a New Grant on scientific lossy compression from NSF

Published: | 5:04 pm | Posted in: News

Kai Zhao (https://ayzk.github.io/), Assistant Professor in the FSU Department of Computer Science, has been awarded a National Science Foundation grant of $540,000 for research on scientific lossy compression. This is his first federal grant as the FSU PI, collaborating with other four professors at the University of Chicago, Indiana University, and Ohio State University. The […]

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Towards Sustainable, Scalable, and Intelligent Ubiquitous Computing

Published: | 2:27 pm | Posted in: Colloquium

Speaker: Te-Yen Wu Date: Oct 6, 2023 Abstract: Inspired by the visionary landscapes of science fiction, ubiquitous computing has emerged as a futuristic yet transformative paradigm that aims to seamlessly integrate computing technology into the fabric of our everyday lives. However, despite the promise of this vision, it remains uncertain how we can bring the […]

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Exploring the Causal Ladder: Unraveling Research in Each Layer

Published: | 7:33 pm | Posted in: Colloquium

Speaker: Ang Li Date: Sep 22, 2023 Abstract: When people engage in discussions about causal inference or causality, their initial focus often revolves around identifying the cause of a particular phenomenon. However, the realm of causal inference extends far beyond this initial perception. To gain a deeper understanding of what causal inference truly encompasses, Professor […]

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Helping Scientists Explore Data Through Rich Metadata and Advanced Data Management Tools

Published: | 4:01 pm | Posted in: Colloquium

Speaker: Dr. Jay Lofstead Date: Friday, September 29, 2023, 2:15 – 3:15pm Location: 307 James Love Building Abstract: Scientific observations and simulations generate enormous data volumes that must be explored to gain new insights into physics phenomena. Two mature tool generations have been proposed with each offering different capabilities to aid scientists in their analysis […]

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A Survey of Cloud Database Systems

Published: | 3:49 pm | Posted in: Colloquium

Speaker: C. Mohan Date: Friday, October 13, 2023, 2:15 – 3:15pm Location: 307 James Love Building Abstract: In this talk, I will first introduce traditional (non-cloud) parallel and distributed database systems. Concepts like SQL and NoSQL systems, data replication, distributed and parallel query processing, and data recovery after different types of failures will be covered. […]

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The Department of Computer Science at the Florida State University welcomes three tenure-track faculty members.

Published: | 2:37 pm | Posted in: News

“We have completed our 2023 faculty recruiting process with an incredibly successful year in terms of both the outcome and the procedure. With the hiring of Ang Li, Te-Yen Wu, and Kai Zhao, we have made a number of advances towards our goal of strengthening our existing core systems research area and growing our research […]

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PhD student Rituparna Khan to be featured in Winter 24 FSU Spectrum and selected for FSU Women’s Leadership Institute.

Published: | 2:22 pm | Posted in: Student Recognition

CS PhD student Rituparna Khan will be featured in Jan 24 edition of the Spectrum Magazine where she talked about her research in Bioinformatics under the supervision of Dr. Xian Mallory. She mentioned that their lab is focused on developing computational tools that will help detect mutations using single cell DNA and RNA sequencing data […]

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